In today’s fast-paced AI-driven landscape, businesses are increasingly challenged to deliver faster, higher-quality support at scale. To see how Zendesk helps businesses meet these challenges by integrating automation, advanced AI, and human expertise, consider the experience of Charlotte, a customer seeking help with her commercial espresso machine.

Zendesk in Action

AI Agents for Service

Charlotte is a customer of 8 Bar, a vendor of commercial grade espresso machines. While preparing for the grand opening of her coffee shop, Charlotte notices quality issues with the taste of her coffee. She first utilizes the 8 Bar help center, where she was immediately served AI-generated answers and links to relevant documentation.

When her issue required further escalation, Charlotte engaged with a Zendesk AI agent that utilized Intelligent Triage to authenticate her identity and categorize the request priority based on sentiment analysis. The AI agent efficiently summarized her details and provided exchange guidance. Given the urgency of their request, the AI agent escalates her request with a human agent, Aaliyah, for urgent handling.

AI Assistance with Copilot

When Aaliyah accepts the conversation in Zendesk Agent Workspace, she has a full view of Charlotte’s conversation history and customer context in the ticket. In the same workspace, Zendesk Copilot (the agent-assist add-on) proactively helps Aaliyah move faster. Copilot uses the ticket and conversation context plus Aaliyah’s trusted sources (like macros/procedures and knowledge) to recommend what to do next.

Copilot surfaces a macro suggestion—the “Refund & Exchange” macro—based on Charlotte’s intent in the conversation. With one click, Aaliyah applies the macro, which inserts a pre-written response and can update ticket fields so the exchange flow is kicked off consistently and quickly.

When Charlotte asks for a call, Aaliyah can place the outbound call directly from Zendesk Voice inside Zendesk Agent Workspace so she doesn’t have to leave the ticket to dial.

During the call, the ticket captures the call context by logging the interaction back to the same record. At the same time, Copilot can help Aaliyah stay oriented by surfacing AI guidance based on conversation context such as key signals like intent and sentiment so Aaliyah can quickly understand what Charlotte needs and how the call is going.

After the call, Aaliyah drafts her follow-up in the ticket composer and uses Copilot’s generative writing assistance to summarize key details and refine the tone based on the positive interaction on the call before sending it to Charlotte. Once the exchange is completed, Aaliyah marks the ticket “Solved” using Zendesk’s ticketing status controls.

Optimizing Agent Support with Zendesk Workforce Management (WFM) & QA

Beyond individual tickets, Zendesk helps teams improve service quality with Workforce Management (WFM) and Zendesk QA.

With WFM, AI-powered forecasting uses historical interaction volume to predict demand and translate it into staffing needs across defined time intervals so leaders can spot coverage gaps and adjust schedules proactively. Teams also get real-time visibility into agent activity and reporting to track productivity and identify coaching opportunities.

With Zendesk QA, AI can review 100% of interactions, human and AI, using Auto QA scoring against criteria like empathy, policy compliance, and resolution accuracy. This makes it easier to surface trends, pinpoint knowledge gaps, and coach consistently at scale.

Choosing Zendesk

With her espresso machine exchange finalized and her coffee shop ready to open, Charlotte’s experience demonstrates how the Zendesk Resolution Platform transforms potential service friction into a brand-building moment. By providing AI-powered tools that empower both customers and agents, Zendesk enables teams to deliver that same level of seamless, high-quality support customers expect from businesses.